Multi-layer bilinear generalized approximate message passing
In this paper, we extend the bilinear generalized approximate message passing (BiG-AMP)
approach, originally proposed for high-dimensional generalized bilinear regression, to the …
approach, originally proposed for high-dimensional generalized bilinear regression, to the …
Bayesian channel estimation and data detection in oversampled OFDM receiver with low-resolution ADC
X Cheng, B Xia, K Xu, S Li - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
This paper focuses on a novel orthogonal frequency division multiplexing (OFDM) receiver
architecture, which uses a low-resolution analog-to-digital converter (ADC) to oversample …
architecture, which uses a low-resolution analog-to-digital converter (ADC) to oversample …
Performance analysis of massive MIMO relay systems with variable-resolution ADCs/DACs over spatially correlated channels
The use of low-resolution analog-to-digital converters (ADCs) and digital-to-analog
converters (DACs) is recognized as a practical technique to reduce power consumption and …
converters (DACs) is recognized as a practical technique to reduce power consumption and …
Low-Complexity MIMO Detection Based on Reinforcement Learning with One-Bit ADCs
TK Kim, YS Jeon, M Min - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
This paper proposes a low-complexity reinforcement learning detection (RLD) algorithm for
multi-input multi-output systems with one-bit analog-to-digital converters. The proposed …
multi-input multi-output systems with one-bit analog-to-digital converters. The proposed …
Is multipath channel beneficial for wideband massive MIMO with low-resolution ADCs?
Coarse quantization by using low-resolution analog-to-digital converters (ADCs) is an
attractive approach to relieve the burden of power consumption and hardware cost of …
attractive approach to relieve the burden of power consumption and hardware cost of …